About

Abish Jayaram is a Data Scientist at Walmart Global Tech India with over 5 years of experience in software engineering and research. He has worked on a diverse range of problems in Computer Vision, NLP, and Predictive Analytics. Abish has in-depth knowledge of neural networks, including CNNs, LSTMs, AutoEncoders, GANs, Attention mechanism, Transformers, and Memory Augmented Networks. Abish has built predictive models using transaction/time-series data using CNNs and LSTMs to capture patterns and predict propensity scores using FFNs. He has also developed a real-time video analytics system to detect phishing activities performed inside an ATM using deep convolutional networks and optimized the model to deploy on edge devices. Abish has designed and implemented a funneling framework to curate the best model architecture from a large collection of possible parameters under a controlled environment. He has also built an automated resume screener software to rank against different roles using Word2Vec, Doc2Vec, and custom-built parsers to extract information. Abish's past experience includes working as an Artificial Intelligence Engineer and Deep Learning Engineer at Razorthink. He crafted a state-of-the-art solution for real-time human-like defect detection in an industry assembly line using Auto Encoders and a unique training technique that could learn from as few as 20 good samples. He also created a resume screener product for a client's HR team, reducing their operation time for screening from 45 days to 6 hours. Abish has a degree in Computer Science from the NIE Institute of Technology, Mysore. His tech stack includes Research Scientist, Data Scientist, Word2Vec, Computer Vision, NLP, BERT, Neural Networks, and Deep Learning. With 7.87 years of relevant experience, Abish is a skilled data scientist who can solve complex problems using cutting-edge technologies.